wine = load('wine.data');
wine_meas =  wine(:, 1:size(wine, 2)-1);
wine_out = wine(:, size(wine, 2));

wine_meass = sparse(wine_meas);

disp('----------------------------');
disp('PREDICT dla wine.data:');
model = train(wine_out, wine_meass, '-s 4');
[l,a]=predict(wine_out, wine_meass, model);